Predictors and Patterns of Problematic Internet Game Use Using a Decision Tree Model

Overview

Journal J Behav Addict

Publisher Akademiai Kiado

Specialties Psychiatry
Social Sciences

Date 2016 Aug 9

PMID 27499227

Citations 13

Authors

Mi Jung Rho

Jo-Eun Jeong

Ji-Won Chun

Hyun Cho

Dong Jin Jung

In Young Choi

Dai-Jin Kim

Affiliations

Soon will be listed here.

Abstract

Background and aims Problematic Internet game use is an important social issue that increases social expenditures for both individuals and nations. This study identified predictors and patterns of problematic Internet game use. Methods Data were collected from online surveys between November 26 and December 26, 2014. We identified 3,881 Internet game users from a total of 5,003 respondents. A total of 511 participants were assigned to the problematic Internet game user group according to the Diagnostic and Statistical Manual of Mental Disorders Internet gaming disorder criteria. From the remaining 3,370 participants, we used propensity score matching to develop a normal comparison group of 511 participants. In all, 1,022 participants were analyzed using the chi-square automatic interaction detector (CHAID) algorithm. Results According to the CHAID algorithm, six important predictors were found: gaming costs (50%), average weekday gaming time (23%), offline Internet gaming community meeting attendance (13%), average weekend and holiday gaming time (7%), marital status (4%), and self-perceptions of addiction to Internet game use (3%). In addition, three patterns out of six classification rules were explored: cost-consuming, socializing, and solitary gamers. Conclusion This study provides direction for future work on the screening of problematic Internet game use in adults.

Citing Articles

Juthamanee S, Gunawan J Belitung Nurs J. 2023; 7(2):62-71.

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Role of Gaming Devices Associated With Internet Gaming Disorder in China: Cross-sectional Study.

Li Y, Tang Y, Huang S, Tan L, Huang Q, Chen X JMIR Serious Games. 2023; 11:e40130.

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Gaming Disorder and Psycho-Emotional Wellbeing among Male University Students and Other Young Adults in Israel.

Isralowitz R, Romem Porat S, Zolotov Y, Yehudai M, Dagan A, Reznik A Int J Environ Res Public Health. 2022; 19(23).

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Development and Internal Validation of a Model for Predicting Internet Gaming Disorder Risk in Adolescents and Children.

Hong J, Wang J, Qu W, Chen H, Song J, Zhang M Front Psychiatry. 2022; 13:873033.

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Internet gaming disorder: Its prevalence and associated gaming behavior, anxiety, and depression among high school male students, Dammam, Saudi Arabia.

Alhamoud M, Alkhalifah A, Althunyan A, Mustafa T, Alqahtani H, Awad F J Family Community Med. 2022; 29(2):93-101.

PMID: 35754755 PMC: 9221232. DOI: 10.4103/jfcm.jfcm_48_22.

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